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A DNA Methylation-Based Gene Signature Can Predict Triple-Negative Breast Cancer Diagnosis
Triple-negative breast cancer (TNBC) is the most aggressive breast cancer (BC) subtype and lacks targeted treatment. It is diagnosed by the absence of immunohistochemical expression of several biomarkers, but this method still displays some interlaboratory variability. DNA methylome aberrations are...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533184/ https://www.ncbi.nlm.nih.gov/pubmed/34680511 http://dx.doi.org/10.3390/biomedicines9101394 |
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author | Mendaza, Saioa Guerrero-Setas, David Monreal-Santesteban, Iñaki Ulazia-Garmendia, Ane Cordoba Iturriagagoitia, Alicia De la Cruz, Susana Martín-Sánchez, Esperanza |
author_facet | Mendaza, Saioa Guerrero-Setas, David Monreal-Santesteban, Iñaki Ulazia-Garmendia, Ane Cordoba Iturriagagoitia, Alicia De la Cruz, Susana Martín-Sánchez, Esperanza |
author_sort | Mendaza, Saioa |
collection | PubMed |
description | Triple-negative breast cancer (TNBC) is the most aggressive breast cancer (BC) subtype and lacks targeted treatment. It is diagnosed by the absence of immunohistochemical expression of several biomarkers, but this method still displays some interlaboratory variability. DNA methylome aberrations are common in BC, thereby methylation profiling could provide the identification of accurate TNBC diagnosis biomarkers. Here, we generated a signature of differentially methylated probes with class prediction ability between 5 non-neoplastic breast and 7 TNBC tissues (error rate = 0.083). The robustness of this signature was corroborated in larger cohorts of additional 58 non-neoplastic breast, 93 TNBC, and 150 BC samples from the Gene Expression Omnibus repository, where it yielded an error rate of 0.006. Furthermore, we validated by pyrosequencing the hypomethylation of three out of 34 selected probes (FLJ43663, PBX Homeobox 1 (PBX1), and RAS P21 protein activator 3 (RASA3) in 51 TNBC, even at early stages of the disease. Finally, we found significantly lower methylation levels of FLJ43663 in cell free-DNA from the plasma of six TNBC patients than in 15 healthy donors. In conclusion, we report a novel DNA methylation signature with potential predictive value for TNBC diagnosis. |
format | Online Article Text |
id | pubmed-8533184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85331842021-10-23 A DNA Methylation-Based Gene Signature Can Predict Triple-Negative Breast Cancer Diagnosis Mendaza, Saioa Guerrero-Setas, David Monreal-Santesteban, Iñaki Ulazia-Garmendia, Ane Cordoba Iturriagagoitia, Alicia De la Cruz, Susana Martín-Sánchez, Esperanza Biomedicines Article Triple-negative breast cancer (TNBC) is the most aggressive breast cancer (BC) subtype and lacks targeted treatment. It is diagnosed by the absence of immunohistochemical expression of several biomarkers, but this method still displays some interlaboratory variability. DNA methylome aberrations are common in BC, thereby methylation profiling could provide the identification of accurate TNBC diagnosis biomarkers. Here, we generated a signature of differentially methylated probes with class prediction ability between 5 non-neoplastic breast and 7 TNBC tissues (error rate = 0.083). The robustness of this signature was corroborated in larger cohorts of additional 58 non-neoplastic breast, 93 TNBC, and 150 BC samples from the Gene Expression Omnibus repository, where it yielded an error rate of 0.006. Furthermore, we validated by pyrosequencing the hypomethylation of three out of 34 selected probes (FLJ43663, PBX Homeobox 1 (PBX1), and RAS P21 protein activator 3 (RASA3) in 51 TNBC, even at early stages of the disease. Finally, we found significantly lower methylation levels of FLJ43663 in cell free-DNA from the plasma of six TNBC patients than in 15 healthy donors. In conclusion, we report a novel DNA methylation signature with potential predictive value for TNBC diagnosis. MDPI 2021-10-04 /pmc/articles/PMC8533184/ /pubmed/34680511 http://dx.doi.org/10.3390/biomedicines9101394 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mendaza, Saioa Guerrero-Setas, David Monreal-Santesteban, Iñaki Ulazia-Garmendia, Ane Cordoba Iturriagagoitia, Alicia De la Cruz, Susana Martín-Sánchez, Esperanza A DNA Methylation-Based Gene Signature Can Predict Triple-Negative Breast Cancer Diagnosis |
title | A DNA Methylation-Based Gene Signature Can Predict Triple-Negative Breast Cancer Diagnosis |
title_full | A DNA Methylation-Based Gene Signature Can Predict Triple-Negative Breast Cancer Diagnosis |
title_fullStr | A DNA Methylation-Based Gene Signature Can Predict Triple-Negative Breast Cancer Diagnosis |
title_full_unstemmed | A DNA Methylation-Based Gene Signature Can Predict Triple-Negative Breast Cancer Diagnosis |
title_short | A DNA Methylation-Based Gene Signature Can Predict Triple-Negative Breast Cancer Diagnosis |
title_sort | dna methylation-based gene signature can predict triple-negative breast cancer diagnosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533184/ https://www.ncbi.nlm.nih.gov/pubmed/34680511 http://dx.doi.org/10.3390/biomedicines9101394 |
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